Fundamentals of Big Data Network Analysis for Research and Industry

1Why Big Data?

There is an enormous amount of data. The increase in unfiltered data that has accumulated so rapidly includes an increase in needless data, which musdt be removed to allow more efficient and unbiased analyses. This requires an ability to extract correct and useful information from the data. Thus, by correctly distinguishing the “gems” from the “pebbles,” Big Data analysis would assist an enterprise in obtaining a wider view when starting with a comparably narrow view. Because Big Data bases its significance in the expansion of thought, it is not about volume, velocity, or variety of data but rather about an alternative perspective and viewpoint with respect to the data. If you want to see a forest, you should not leave the forest you should climb to the top of a mountain. Likewise, to obtain meaningful insight from Big Data, we should attempt to broaden our perspective from a bird’s eye view. The higher the altitude, the wider is the vision that can be obtained. To see the outside that was never observed from the inside, a different perspective is required to see the forest, and that is where Big Data steps in.

1.1 Big Data

There has been a significant influx of interest in Big Data. Gartner, one of the top marketing analysis institutions in the world, has selected Big Data as one of the top 10 strategic technologies [1] in both 2012 and 2013; in 2014, it selected Big Data and Actionable Analytics as the core strategy technology for smart governance [2]. ...